| Exponential Family Graph Embeddings A Celikkanat, FD Malliaros Proceedings of the AAAI Conference on Artificial Intelligence 34 (4), 3357-3364, 2020 | 18 | 2020 |
| Multiple Kernel Representation Learning on Networks A Celikkanat, Y Shen, F Malliaros IEEE Transactions on Knowledge and Data Engineering, 2022 | 10 | 2022 |
| Topic-aware latent models for representation learning on networks A Çelikkanat, FD Malliaros Pattern Recognition Letters 144, 89-96, 2021 | 8 | 2021 |
| Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations A Celikkanat, N Nakis, M Mørup Learning on Graphs Conference, 2022 | 6 | 2022 |
| Multiomics data integration for gene regulatory network inference with exponential family embeddings S Jagtap, A Celikkanat, A Piravre, F Bidard, L Duval, FD Malliaros 2021 29th European Signal Processing Conference (EUSIPCO), 1221-1225, 2021 | 6 | 2021 |
| Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model N Nakis, A Celikkanat, L Boucherie, C Djurhuus, F Burmester, ... International Conference on Artificial Intelligence and Statistics 206 …, 2023 | 5 | 2023 |
| HM-LDM: A hybrid-membership latent distance model N Nakis, A Çelikkanat, M Mørup International Conference on Complex Networks and Their Applications, 350-363, 2023 | 5 | 2023 |
| NodeSig: Binary Node Embeddings via Random Walk Diffusion A Celikkanat, FD Malliaros, AN Papadopoulos 2022 IEEE/ACM International Conference on Advances in Social Networks …, 2022 | 5* | 2022 |
| BraneMF: Integration of biological networks for functional analysis of proteins S Jagtap, A Çelikkanat, A Pirayre, F Bidard, L Duval, FD Malliaros Bioinformatics, 2022 | 4 | 2022 |
| Kernel node embeddings A Çelikkanat, FD Malliaros 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019 | 4 | 2019 |
| TNE: A Latent Model for Representation Learning on Networks A Çelikkanat, FD Malliaros arXiv preprint arXiv:1810.06917, 2018 | 4 | 2018 |
| A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations N Nakis, A Çelikkanat, S Lehmann, M Mørup IEEE Transactions on Knowledge and Data Engineering, 2023 | 3 | 2023 |
| Continuous-time Graph Representation with Sequential Survival Process A Celikkanat, N Nakis, M Mørup Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11177 …, 2024 | 2 | 2024 |
| Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning A Celikkanat, AR Masegosa, TD Nielsen Advances in Neural Information Processing Systems 37, 2024 | 1 | 2024 |
| Learning Node Embeddings with Exponential Family Distributions A Çelikkanat, F Malliaros Workshop on Graph Representation Learning - 33th Annual Conference on Neural …, 2019 | 1 | 2019 |
| Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model N Nakis, A Celikkanat, L Boucherie, S Lehmann, M Mørup The 27th International Conference on Artificial Intelligence and Statistics, 2024 | | 2024 |
| A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks N Nakis, A Çelikkanat, M Mørup Advances in Complex Systems (ACS) 26 (03), 1--30, 2023 | | 2023 |
| Graph Representation Learning with Random Walk Diffusions A Celikkanat Université Paris-Saclay, 2021 | | 2021 |
| Sampling Methods For Random Simple and Bipartite Graphs with Prescribed Degree Sequences A Celikkanat Bogaziçi University, 2017 | | 2017 |
Fragkiskos D. MalliarosAssociate Professor, CentraleSupélec, Université Paris-SaclayAdresse e-mail validée de centralesupelec.fr